Essays about: "singular value decomposition"
Showing result 1 - 5 of 51 essays containing the words singular value decomposition.
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1. Using search based methods for beamforming
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : In accommodating the growing global demand for wireless, Multi-User Multiple-Input and Multiple-Output (MU-MIMO) systems have been identified as the key technology. In such systems, a transmitting basestation serves several users simultaneously, increasing the network capacity. READ MORE
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2. Recommender Systems Using Limited Dataset Sizes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to create personalized recommendations for users on services such as e-commerce websites and streaming platforms, recommender systems often utilize various machine learning techniques. A common technique used in recommender systems is collaborative filtering which creates rating predictions based on similar users’ interests. READ MORE
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3. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. READ MORE
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4. Ingredient-based Group Recommender for Recipes (IGR2)
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The number of food recipe options in modern society is vast and growing. While often being considered positive, the abundant options also lead to the so-called paradox of choice, i.e. that more options can lead to less happiness. READ MORE
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5. Evaluation of non-stationary signal processing methods for binary EEG classification
University essay from Lunds universitet/Matematisk statistikAbstract : Electroencephalogram (EEG) measurements are notoriously noisy and non-stationary and there are several specialized techniques for their analysis and interpretation. In this thesis, we implement a collection of stationary and non-stationary methods including coherence, Phase Locking Value (PLV), Phase Lag Index (PLI), and their imaginary counterparts. READ MORE
